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In the Probit Model Pr(Y = 1 X1,X2

question 12

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In the probit model Pr(Y = 1 In the probit model Pr(Y = 1   X1,X2,... ,Xk) = Φ(β0 + β1X1 + βxX2 + ...+ βkXk) , A) the β's do not have a simple interpretation. B) the slopes tell you the effect of a unit increase in X on the probability of Y. C) β0 cannot be negative since probabilities have to lie between 0 and 1. D) β0 is the probability of observing Y when all X's are 0 X1,X2,... ,Xk) = Φ(β0 + β1X1 + βxX2 + ...+ βkXk) ,


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